IMPLEMENTATION OF ICT BASED PEDIATRIC TELEHEALTH CARE POSYANDU AS AUTOMATIC MONITOR AND IDENTIFICATION OF INFANT’S GROWTH AND DEVELOPMENT

Riries Rulaningtyas, Abidah Alfi Maritsa, Weni Endahing Warni, Soegianto Soelistiono, Khusnul Ain, Amirul Amalia, Aji Sapta Pramulen, Yusrinourdi Muhammad Zuchruf, Hanif Assyarify, Miranda Syafira Widyananda, Muhammad Fadhel Maulama

= http://dx.doi.org/10.20473/dc.V2.I1.2020.38-45

Abstract views = 652 times | downloads = 1002 times

Abstract


Background: Posyandu is one of the Indonesian government’s attempt in order to monitor and improve the health and life quality of the community, especially infant. However, the implementation of Posyandu is facing some issues such as low effectiveness and low accuracy during the data collecting process of the infant’s growth and development. Purpose: This study aims to develop an automatic telehealth care product in order to help to increase the effectivity and accuracy in the implementation of Posyandu. Methods: (1) Development of the Telehealth Care Posyandu Application, (2) Implementation of the application in the form of social service program. Result: (1) “Toddler” Telehealth Care Application based in Android and ICT was buith with artificial intelligence of Decision Tree and Random Forest method. Program testing was done with 97.89% accuration score from total 85 infant’s growth data. While from 47 questionnaire data of infant’s development, accuracy score of 83.33% was obtained. (2) Target’s respond on the Telehealth Care Posyandu Application shown the status of “Very Satistified” based on the score of 81% from  the satisfaction survey. The satisfaction survey covered three aspects which are: System, User, and Interaction. Conclusion:   “Toddler” Telehealth Care Posyandu Application was proven to has high accuracy, sensitivity, and sensitivity score and also resulted in “Very Satisfied” user respond.

Keywords


Posyandu; Telehealth Care; Artificial Intelligence

Full Text:

PDF

References


American Psychiatric Association. 2016. Diagnostic and Statistical Manual of Mental Disorders 5th edition. Amerika Serikat: American Psychiatric Association Publishing.

Breiman, L. Random Forests. 2001. Machine Learning Vol. 45(1). Pp. 5-32.

Gupta, N. 2013. Accuracy, Sensitivity, and Specificity Measurement of Various Classification Techniques on Healthcare Data. IOSR J. Comput. Eng. Vol. 11(5). Pp. 70–73.

Kementerian Kesehatan Republik Indonesia. 2012. Pedoman Pencegahan dan Penanggulangan Kegemukan dan Obesitas pada Anak Sekolah. Jakarta: Kementerian Kesehatan RI.

Kementerian Kesehatan Republik Indonesia. 2016. Pedoman Pelaksanaan: Stimulasi, Deteksi dan Intervensi Dini Tumbuh Kembang Anak. Jakarta: Direktorat Kesehatan Keluarga.

Liaw, A., Wiener, M. 2002. Classification and Regression by RandomForest. Forest Vol. 2(3). Pp. 18-22.

Mahmoudi, M., Akbari-Zardkhaneh, S., Zadeh, A. A., Ghobari-Bonab, B., Shokoohi-Yekta, M., Moradi, H., Pouretemad, H. R. 2018. An Autism Screening Expert System: Reliability, Validity and Factorial Structure. Autism-Open Access Vol. 08(03). Pp. 1-7.

National Institute for Children’s Health Quality (NICHQ). 2002. NICHQ Vanderbilt Assessment Scales: Used for Diagnosing ADHD. Amerika Serikat: American Academy of Pediatrics and National Initiative for Children’s Healthcare Quality.

Runjati. 2010. Asuhan Kebidanan Komunitas. Jakarta: EGC.

Supriyanto, A., Hartono, B. 2017. Peran Teknologi Informasi bagi Kader Posyandu dalam Kegiatan Pendataan K.I.A. Bali: Seminar Nasional Vokasi dan Teknologi.

WHO. 2008. Training Course on Child Growth Assessment: Interpreting Growth Indicators. China: WHO Press.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Riries Rulaningtyas, Abidah Alfi Maritsa, Weni Endahing Warni, Soegianto Soelistiono, Khusnul Ain, Amirul Amalia, Aji Sapta Pramulen, Yusrinourdi Muhammad Zuchruf, Hanif Assyarify, Miranda Syafira Widyananda, Muhammad Fadhel Maulama

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This Journal is Indexing by:

            

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.